A Method for Assessing the Efficiency in Two-Stage Production Systems in the Presence of Dual-Role Factors

Chongyu Ma, Jianwei Ren*, Lijun Tang, Chunhua Chen, Chenxi Feng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Due to the existence of dual-role factors, it is difficult to evaluate the production efficiency of two-stage systems. Unlike single-stage systems, two-stage systems involve intermediate products that serve as both inputs and outputs. Hence, to overcome existing obstacles, we propose a novel approach called the two-stage enhanced Russell model with dual-role factors (T-ERM-D) to assess the overall efficiency of two-stage production systems. Furthermore, divisional models are developed to evaluate the efficiency of each individual stage. The 0-1 programming is applied to deal with dual-role factors. To handle the non-linearity of these models, the Charnes-Cooper transformation is employed to convert them into linear ones. Using the proposed models, we evaluate efficiency scores of 10 supply chains involving suppliers and producers. By comparing the results obtained from new models with those obtained from models that do not consider dual-role factors, we validate the advantages of the proposed approach.

Original languageEnglish
Pages (from-to)624-646
Number of pages23
JournalJournal of Systems Science and Information
Volume12
Issue number5
DOIs
Publication statusPublished - 25 Oct 2024

ASJC Scopus subject areas

  • General Decision Sciences
  • Control and Systems Engineering
  • Statistics and Probability
  • General Economics,Econometrics and Finance
  • Computer Networks and Communications
  • Applied Mathematics

Keywords

  • data envelopment analysis
  • dual-role factors
  • efficiency assessment
  • enhanced Russell model
  • two stages

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